762 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Northeastern University
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program on the Northeastern University Seattle campus. Applicants qualified to teach economics classes in any field are encouraged to apply to be considered for openings that arise. Part-time Lecturers
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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the College of Professional Studies. The successful candidate will teach specialized graduate-level courses potentially covering areas such as Corporate Finance, Investments, Financial Institutions, Risk
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https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color
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, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
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assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will
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other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see https://belonging.northeastern.edu . Position
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization